Product Analyst

Bengaluru, Karnataka, India | Technology | Full-time


The thrill of working at a start-up that is starting to scale massively is something else.

Simpl ( was formed in 2015 by Nitya Sharma, an investment banker from Wall Street and Chaitra Chidanand, a tech executive from the Valley, when they teamed up with a very clear mission - to make money simple, so that people can live well and do amazing things. Simpl is the payment platform for the mobile-first world, and we’re backed by some of the best names in fintech globally (folks who have invested in Visa, Square and Transferwise), and has Joe Saunders, Ex Chairman and CEO of Visa as a board member.

Everyone at Simpl is an internal entrepreneur who is given a lot of bandwidth and resources to create the next breakthrough towards the long term vision of “making money Simpl”. Our first product is a payment platform that lets people buy instantly, anywhere online, and pay later. In the background, Simpl uses big data for credit underwriting, risk and fraud modelling, all without any paperwork, and enables Banks and Non-Bank Financial Companies to access a whole new consumer market.



We are looking to hire a data analyst (Can be considered for a lead role depending on fit) who can work closely with product, investment, operations and marketing team on analytics.

The candidate would be a business aware self-starter responsible for enabling data driven decisions by setting up a reporting framework for daily/weekly metrics, helping with ad-hoc analysis and any fundamental research exercise.


This Role Requires Applicant To

  • Have passion for sourcing, manipulating and visualizing data
  • Apply direction and confidence to design qualitative and quantitative analysis
  • Stand before stakeholders, including senior leaders to clearly communicate strategic findings and recommendations
  • Partner with key members from technical and non-technical teams to build and enable high quality decisions
  • Prioritize and manage multiple priorities simultaneously
  • Advocate for working backwards from the customer


All basic qualifications, plus the following:

  • Degree in Computer Science, Engineering, Statistics, Mathematics, Statistics or a related field
  • SQL, Python/R (EDA experience), Visualisation tools (Qlik/Tableau) is must
  • Experience with AWS solutions
  • Experience working in very large data warehouse environments
  • Experience conducting large scale data, regression, and predictive analysis to support business decision making
  • Strong verbal/written communication and data visualization skills, including an ability to effectively communicate with both business and technical teams


We promise a culture of ownership coupled with competitive compensation and generous equity